ComfyUI Node: Merge sigmas gradually

Merge sigmas gradually:

The "Merge sigmas gradually" node is designed to blend two sets of sigma values progressively, creating a smooth transition between them. This node is particularly useful in scenarios where you need to combine different sampling strategies or adjust the influence of two sigma sets over a sequence. By gradually merging the sigmas, you can achieve a more nuanced and controlled effect, enhancing the quality and flexibility of your AI-generated art. This method ensures that the transition between the two sigma sets is not abrupt but rather smooth and continuous, providing a more natural and aesthetically pleasing result.

Merge sigmas gradually Input Parameters:

sigmas_1

This parameter represents the first set of sigma values that you want to merge. It is a required input and must be provided for the node to function. The sigmas_1 set serves as the starting point for the gradual merge process.

sigmas_2

This parameter represents the second set of sigma values that you want to merge with the first set. It is also a required input and must be provided. The sigmas_2 set serves as the endpoint for the gradual merge process.

proportion_1

This parameter controls the proportion of the first set of sigma values (sigmas_1) in the final merged result. It is a floating-point value that ranges from 0 to 1, with a default value of 0.5. A value of 0.5 means that both sigma sets will have equal influence in the merged result. Adjusting this value allows you to control the dominance of either sigmas_1 or sigmas_2 in the final output.

Merge sigmas gradually Output Parameters:

SIGMAS

The output of this node is a single set of sigma values that result from the gradual merging of sigmas_1 and sigmas_2. This merged set of sigmas can be used in subsequent nodes or processes to achieve the desired sampling effect. The output ensures a smooth transition between the two input sigma sets, providing a more refined and controlled result.

Merge sigmas gradually Usage Tips:

• To achieve a balanced blend between two sigma sets, use the default proportion_1 value of 0.5.
• If you want the final result to be more influenced by sigmas_1, increase the proportion_1 value closer to 1. Conversely, decrease it closer to 0 to give more influence to sigmas_2. - Experiment with different proportion_1 values to find the optimal blend for your specific use case, especially when combining different sampling strategies.

Merge sigmas gradually Common Errors and Solutions:

"Input tensor sizes do not match"

• Explanation: This error occurs when the sizes of sigmas_1 and sigmas_2 do not match.
• Solution: Ensure that both sigmas_1 and sigmas_2 have the same number of elements before passing them to the node.

"Invalid proportion_1 value"

• Explanation: This error occurs when the proportion_1 value is outside the valid range of 0 to 1. - Solution: Adjust the proportion_1 value to be within the range of 0 to 1, inclusive.

"Missing required input"

• Explanation: This error occurs when either sigmas_1 or sigmas_2 is not provided.
• Solution: Ensure that both sigmas_1 and sigmas_2 are provided as inputs to the node.